Camo-M3FD is a curated visible-thermal benchmark dataset for cross-spectral camouflaged pedestrian detection, with annotations and baseline evaluations showing the value of fusion.
Concealed object detection.IEEE transactions on pat- tern analysis and machine intelligence, 44(10):6024–6042,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SWNet combines visible and NIR spectra with a Pyramid Vision Transformer, bimodal gated fusion, and edge refinement to outperform prior methods on camouflaged weed detection in the Weeds-Banana dataset.
citing papers explorer
-
Camo-M3FD: A New Benchmark Dataset for Cross-Spectral Camouflaged Pedestrian Detection
Camo-M3FD is a curated visible-thermal benchmark dataset for cross-spectral camouflaged pedestrian detection, with annotations and baseline evaluations showing the value of fusion.
-
SWNet: A Cross-Spectral Network for Camouflaged Weed Detection
SWNet combines visible and NIR spectra with a Pyramid Vision Transformer, bimodal gated fusion, and edge refinement to outperform prior methods on camouflaged weed detection in the Weeds-Banana dataset.